James T. Kellis
Impact in
- Molecular Biology top 2%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genetics top 2%
- Estrogen and related hormone effects
Papers in
-
- Protein Structure and Dynamics 10
- Advanced Biosensing Techniques and Applications 3
- Protein purification and stability 3
- Genetics 8
- Estrogen and related hormone effects 7
- Co-authors
- Alan R. Fersht (7 shared papers)Larry E. Vickery (12 shared papers)Andreas Matouschek (7 shared papers)Kerstin Nyberg (2 shared papers)Luis Serrano (2 shared papers)Luís Serrano (3 shared papers)Mark Bycroft (4 shared papers)A.R. Fersht (1 shared paper)
- Journals
- Langmuir (6 papers)Nature (5 papers)Journal of Biological Chemistry (4 papers)Steroids (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
James T. Kellis
32 papers receiving 3.5k citations
James T. Kellis's Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 2.6k
- Genetics 765
- Materials Chemistry 1.3k
- Pathology and Forensic Medicine 430
- Pharmacology 211
Countries citing papers authored by James T. Kellis
This map shows the geographic impact of James T. Kellis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James T. Kellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Kellis more than expected).
Fields of papers citing papers by James T. Kellis
This network shows the impact of papers produced by James T. Kellis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James T. Kellis. The network helps show where James T. Kellis may publish in the future.
Co-authors
The 25 scholars most cited alongside James T. Kellis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mapping the transition state and pathway of protein folding by protein engineering Hit paper breakdown → | 1989 | 609 |
| 2 | 1993 | 446 | |
| 3 | 1990 | 396 | |
| 4 | 1988 | 358 | |
| 5 | 1992 | 335 | |
| 6 | 1989 | 318 | |
| 7 | 1984 | 269 | |
| 8 | 1987 | 259 | |
| 9 | 1990 | 189 | |
| 10 | 1987 | 63 | |
| 11 | 1991 | 56 | |
| 12 | 2002 | 36 | |
| 13 | 1987 | 36 | |
| 14 | 1996 | 34 | |
| 15 | 1986 | 31 | |
| 16 | 1984 | 30 | |
| 17 | 2002 | 25 | |
| 18 | 2010 | 23 | |
| 19 | 2010 | 17 | |
| 20 | 1991 | 14 |
About James T. Kellis
James T. Kellis is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Cell Biology and Pharmacology, having authored 32 papers that have together received 3.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Enzyme Structure and Function (8 papers), Estrogen and related hormone effects (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Hemoglobin structure and function (4 papers), Advanced Biosensing Techniques and Applications (3 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Genetics (765 citations), Materials Chemistry (1.3k citations), Pathology and Forensic Medicine (430 citations) and Pharmacology (211 citations). James T. Kellis has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Alan R. Fersht, Larry E. Vickery, Andreas Matouschek, Kerstin Nyberg, Luis Serrano, Luís Serrano, Mark Bycroft, A.R. Fersht, C. Bannwart and Herman Adlercreutz. Their work appears in journals such as Langmuir, Nature, Journal of Biological Chemistry, Steroids and Biochemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.